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mnemonic-format

Create structured AI memories using MIF Level 3 templates and YAML frontmatter.

20|4|Updated Jan 24, 2026
Search Tags:#templates#yaml#metadata#skill#mif#memory format
One-click install
npx skills add https://github.com/zircote/mnemonic --skill mnemonic-format
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mnemonic-format
Source: https://github.com/zircote/mnemonic/tree/main/skills/mnemonic-format
Command: npx skills add https://github.com/zircote/mnemonic --skill mnemonic-format

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides the structure and guidelines for creating and managing AI memories using the Memory Interchange Format (MIF) Level 3, ensuring consistency and discoverability.

Core Features & Use Cases

  • MIF Specification: Understand and apply the official MIF Level 3 standard.
  • Memory Templates: Utilize pre-defined templates for various memory types (semantic, episodic, procedural).
  • Field Reference: Detailed explanations of all available frontmatter fields for rich memory creation.
  • Use Case: When capturing a new piece of knowledge, use this Skill's templates and field references to ensure the memory is well-structured, includes all necessary metadata, and adheres to the MIF standard for optimal retrieval and integration.

Quick Start

Use the mnemonic-format skill to generate a minimal memory template for a new semantic memory.

Frequently Asked Questions about mnemonic-format

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the Memory Interchange Format for structuring AI memories?▼

The Memory Interchange Format (MIF) is a specification using YAML frontmatter and Markdown to standardize AI memory storage. It ensures memories are structured, discoverable, and consistently formatted for optimal retrieval and integration.

How do I create structured AI memories using YAML frontmatter templates?▼

To create structured AI memories, apply the MIF Level 3 templates and field references. This process involves defining semantic, episodic, or procedural memory types within standardized YAML frontmatter and Markdown content.

What memory types are supported by the MIF Level 3 specification?▼

The MIF Level 3 specification supports semantic, episodic, and procedural memory types. It provides pre-defined templates and detailed field references for frontmatter, relationships, and entities to capture each specific memory category.

When do I need standardized metadata formatting for AI memory storage?▼

You need standardized metadata formatting when capturing new knowledge to ensure it is well-structured and adheres to a consistent standard. This approach guarantees necessary metadata is included for optimal retrieval and integration within AI systems.

Can I use MIF templates to define relationships and entities in AI memory?▼

Yes, the MIF templates include detailed field references for defining relationships and entities. This allows you to enrich the YAML frontmatter with necessary metadata to map complex connections within the stored AI memories.

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